Decision making process have to be much more accurate and careful. Therefore, decision makers depend on what-if analysis systems to predict an impact of a specific scenario.
Usually, previous what-if analysis models in the literature have been direc
ted just to predict an impact of a specific scenario. Therefore, our main goal in this approach is to enhance what-if analysis to suggest the best scenarios, in addition to predict their impacts.
Affordable offers are one of the best ways to increase the revenue in telecom companies. Decision makers can predict a potential revenue before launching an offer, depending on what-if analysis system.
This research depends on enhanced k-means algorithm to categorize customers into segments of the same behavior or usage.
